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Report (Bericht) zugänglich unter
URN: urn:nbn:de:bsz:291-scidok-35998
URL: http://scidok.sulb.uni-saarland.de/volltexte/2011/3599/


Constraint-based semantics

Nerbonne, John

Quelle: (1992) Kaiserslautern ; Saarbrücken : DFKI, 1992
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Dokument 1.pdf (12.201 KB)

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SWD-Schlagwörter: Künstliche Intelligenz , Computerlinguistik , Semantik , Unifikationsgrammatik
Institut: DFKI Deutsches Forschungszentrum für Künstliche Intelligenz
DDC-Sachgruppe: Informatik
Dokumentart: Report (Bericht)
Schriftenreihe: Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x]
Bandnummer: 92-18
Sprache: Englisch
Erstellungsjahr: 1992
Publikationsdatum: 19.05.2011
Kurzfassung auf Englisch: Montague's famous characterization of the homomorphic relation between syntax and semantics naturally gives way in computational applications to CONSTRAINT-BASED formulations. This was originally motivated by the close harmony it provides with syntax, which is universally processed in a constraint-based fashion. Employing the same processing discipline in syntax and semantics allows that their processing (and indeed other processing) can be as tightly coupled as one wishes - indeed, there needn't be any fundamental distinction between them at all. In this paper, we point out several advantages of the constraint-based view of semantics processing over standard views. These include (i) the opportunity to incorporate nonsyntactic constraints on semantics, such as those arising from phonology and context; (ii) the opportunity to formulate principles which generalize over syntax and semantics, such as those found in HEAD-DRIVEN PHRASE STRUCTURE GRAMMAR; (iii) a characterization of semantic ambiguity, which in turn provides a framework in which to describe disambiguation, and (iv) the opportunity to underspecify meanings in a way difficult to reconcile with other views. The last point is illustrated with an application to scope ambiguity in which a scheme is developed which underspecifies scope but eschews auxiliary levels of logical form.
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